[HTML][HTML] The role of deep learning in urban water management: A critical review

G Fu, Y **, S Sun, Z Yuan, D Butler - Water Research, 2022 - Elsevier
Deep learning techniques and algorithms are emerging as a disruptive technology with the
potential to transform global economies, environments and societies. They have been …

Surface defect detection of civil structures using images: Review from data perspective

J Guo, P Liu, B **ao, L Deng, Q Wang - Automation in Construction, 2024 - Elsevier
As civil structures age and deteriorate, it becomes crucial to conduct structural health
monitoring (SHM) to ensure safety and timely maintenance. Surface defect detection plays a …

Intelligent monitoring of spatially-distributed cracks using distributed fiber optic sensors assisted by deep learning

Y Liu, Y Bao - Measurement, 2023 - Elsevier
Distributed fiber optic sensors (DFOSs) offer unique capabilities for crack monitoring via
measuring strain distributions. However, manually interpreting strain distributions is labor …

Review on automated condition assessment of pipelines with machine learning

Y Liu, Y Bao - Advanced Engineering Informatics, 2022 - Elsevier
Pipelines carrying energy products play vital roles in economic wealth and public safety, but
incidents continue occurring. Condition assessment of pipelines is essential to identify …

Automated detection of railway defective fasteners based on YOLOv8-FAM and synthetic data using style transfer

S Qiu, B Cai, W Wang, J Wang, Q Zaheer, X Liu… - Automation in …, 2024 - Elsevier
Fastener damage detection is an integral component of track safety inspections. The lack of
balanced dataset caused by insufficient data on defective fasteners poses a significant …

Transformer‐optimized generation, detection, and tracking network for images with drainage pipeline defects

D Ma, H Fang, N Wang, H Lu… - Computer‐Aided Civil …, 2023 - Wiley Online Library
Regular detection of defects in drainage pipelines is crucial. However, some problems
associated with pipeline defect detection, such as data scarcity and defect counting difficulty …

[HTML][HTML] Construction and maintenance of urban underground infrastructure with digital technologies

M Wang, X Yin - Automation in construction, 2022 - Elsevier
Urban underground infrastructure is a critical component in cities to provide essential
services to residents. Research efforts have been made to facilitate different activities of …

DefectTR: End-to-end defect detection for sewage networks using a transformer

LM Dang, H Wang, Y Li, TN Nguyen, H Moon - Construction and Building …, 2022 - Elsevier
The sanitary sewer is a crucial underground infrastructure of any country that collects
wastewater and carries it to the treatment plant. The damage triggered by various factors …

[HTML][HTML] Application of artificial intelligence in marine corrosion prediction and detection

MMH Imran, S Jamaludin, AFM Ayob, AAIM Ali… - Journal of Marine …, 2023 - mdpi.com
One of the biggest problems the maritime industry is currently experiencing is corrosion,
resulting in short and long-term damages. Early prediction and proper corrosion monitoring …

An integrated first principal and deep learning approach for modeling nitrous oxide emissions from wastewater treatment plants

K Li, H Duan, L Liu, R Qiu… - … science & technology, 2022 - ACS Publications
Mathematical modeling plays a critical role toward the mitigation of nitrous oxide (N2O)
emissions from wastewater treatment plants (WWTPs). In this work, we proposed a novel …